Journal: Neural Computation

Volume 20, Issue 9

2133 -- 2184Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann. Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
2185 -- 2226Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter. Correlations and Population Dynamics in Cortical Networks
2227 -- 2237Youshen Xia, Dongyi Ye. On Exponential Convergence Conditions of an Extended Projection Neural Network
2238 -- 2252Javier R. Movellan. Contrastive Divergence in Gaussian Diffusions
2253 -- 2307Terry Elliott. Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity
2308 -- 2324Erol Gelenbe, Stelios Timotheou. Random Neural Networks with Synchronized Interactions
2325 -- 2360Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel. Encoding and Decoding Spikes for Dynamic Stimuli
2361 -- 2378Leon Barrett, Jerome Feldman, Liam Mac Dermed. A (Somewhat) New Solution to the Variable Binding Problem

Volume 20, Issue 8

1899 -- 1927Yong Zhang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Donald A. Adjeroh, Stephen T. C. Wong. 3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images
1928 -- 1950Sandro Romani, Daniel J. Amit, Yali Amit. Optimizing One-Shot Learning with Binary Synapses
1951 -- 1972Takashi Kanamaru, Kazuyuki Aihara. Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neurons
1973 -- 1999Benjamin Staude, Stefan Rotter, Sonja Grün. Can Spike Coordination Be Differentiated from Rate Covariation?
2000 -- 2036Paul A. Rhodes. Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees
2037 -- 2069Xi Shen, Xiaobin Lin, Philippe De Wilde. Oscillations and Spiking Pairs: Behavior of a Neuronal Model with STDP Learning
2070 -- 2084Joshua N. Milstein, Christof Koch. Dynamic Moment Analysis of the Extracellular Electric Field of a Biologically Realistic Spiking Neuron
2085 -- 2111M. N. Abdelghani, T. P. Lillicrap, D. B. Tweed. Sensitivity Derivatives for Flexible Sensorimotor Learning
2112 -- 2131Morten Mørup, Lars Kai Hansen, Sidse M. Arnfred. Algorithms for Sparse Nonnegative Tucker Decompositions

Volume 20, Issue 7

1651 -- 1705Rubén Moreno-Bote, Alfonso Renart, Néstor Parga. Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons
1706 -- 1716Gianluigi Mongillo, Sophie Deneve. Online Learning with Hidden Markov Models
1717 -- 1731Xiaoshen Li, Giorgio A. Ascoli. Effects of Synaptic Synchrony on the Neuronal Input-Output Relationship
1732 -- 1775Claude Meunier, Boris Lamotte d Incamps. Extending Cable Theory to Heterogeneous Dendrites
1776 -- 1795Shinsuke Koyama, Robert E. Kass. Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
1796 -- 1820Thomas Burwick. Temporal Coding: Assembly Formation Through Constructive Interference
1821 -- 1846J. H. Van Hateren. Fast Recursive Filters for Simulating Nonlinear Dynamic Systems
1847 -- 1872Mark C. W. van Rossum, Matthijs A. A. van der Meer, Dengke Xiao, Mike W. Oram. Adaptive Integration in the Visual Cortex by Depressing Recurrent Cortical Circuits
1873 -- 1897L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, Alessandro Verri. Spectral Algorithms for Supervised Learning

Volume 20, Issue 6

1385 -- 1410Gideon Gradwohl, Yoram Grossman. Analysis of the Interaction Between the Dendritic Conductance Density and Activated Area in Modulating alpha-Motoneuron EPSP: Statistical Computer Model
1411 -- 1426Kukjin Kang, Shun-ichi Amari. Discrimination with Spike Times and ISI Distributions
1427 -- 1451Minjoon Kouh, Tomaso Poggio. A Canonical Neural Circuit for Cortical Nonlinear Operations
1452 -- 1472Xiangyu Tang, Christoph von der Malsburg. Figure-Ground Separation by Cue Integration
1473 -- 1494Christopher Parisien, Charles H. Anderson, Chris Eliasmith. Solving the Problem of Negative Synaptic Weights in Cortical Models
1495 -- 1511Conor Houghton, Kamal Sen. A New Multineuron Spike Train Metric
1512 -- 1536José Ambros-Ingerson, Lawrence M. Grover, William R. Holmes. A Classification Method to Distinguish Cell-Specific Responses Elicited by Current Pulses in Hippocampal CA1 Pyramidal Cells
1537 -- 1564Ben Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant. The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform
1565 -- 1595Kar-Ann Toh. Deterministic Neural Classification
1596 -- 1630Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori. Robust Boosting Algorithm Against Mislabeling in Multiclass Problems
1631 -- 1649Nicolas Le Roux, Yoshua Bengio. Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Volume 20, Issue 5

1119 -- 1164John J. Hopfield. Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation
1165 -- 1178Stephen Waydo, Christof Koch. Unsupervised Learning of Individuals and Categories from Images
1179 -- 1210Lawrence Sirovich. Populations of Tightly Coupled Neurons: The RGC/LGN System
1211 -- 1238Gaby Schneider. Messages of Oscillatory Correlograms: A Spike Train Model
1239 -- 1260Brian Nils Lundstrom, Sungho Hong, Matthew H. Higgs, Adrienne L. Fairhall. Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space
1261 -- 1284Cornelius Weber, Jochen Triesch. A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
1285 -- 1324Kay Thurley, Christian Leibold, Anja Gundlfinger, Dietmar Schmitz, Richard Kempter. Phase Precession Through Synaptic Facilitation
1325 -- 1343Zbynek Pawlas, Lev Klebanov, Martin Prokop, Petr Lánský. Parameters of Spike Trains Observed in a Short Time Window
1344 -- 1365Marc M. Van Hulle. Sequential Fixed-Point ICA Based on Mutual Information Minimization
1366 -- 1383Qingshan Liu, Jun Wang. A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming

Volume 20, Issue 4

873 -- 922Roger Ratcliff, Gail McKoon. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
923 -- 963Valérie Ventura. Spike Train Decoding Without Spike Sorting
964 -- 973Marc M. Van Hulle. Constrained Subspace ICA Based on Mutual Information Optimization Directly
974 -- 993Arunava Banerjee, Peggy Seriès, Alexandre Pouget. Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks
994 -- 1025Si Wu, Kosuke Hamaguchi, Shun-ichi Amari. Dynamics and Computation of Continuous Attractors
1026 -- 1041Felix Creutzig, Henning Sprekeler. Predictive Coding and the Slowness Principle: An Information-Theoretic Approach
1042 -- 1064Maciej Pedzisz, Danilo P. Mandic. A Homomorphic Neural Network for Modeling and Prediction
1065 -- 1090Wenlian Lu, Tianping Chen. Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations
1091 -- 1117Simone Fiori. A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group ::::SU::::(3)

Volume 20, Issue 3

603 -- 635Murat Aytekin, Cynthia F. Moss, Jonathan Z. Simon. A Sensorimotor Approach to Sound Localization
636 -- 643Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki. A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations
644 -- 667Vladimir Itskov, Carina Curto, Kenneth D. Harris. Valuations for Spike Train Prediction
668 -- 708Christopher DiMattina, Kechen Zhang. How Optimal Stimuli for Sensory Neurons Are Constrained by Network Architecture
709 -- 737Patrick Byrne, Suzanna Becker. A Principle for Learning Egocentric-Allocentric Transformation
738 -- 755Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen. Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics
756 -- 778Timothy M. Hospedales, Mark C. W. van Rossum, Bruce P. Graham, Mayank B. Dutia. Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity
779 -- 812Shay Ben-Itzhak, Amir Karniel. Minimum Acceleration Criterion with Constraints Implies Bang-Bang Control as an Underlying Principle for Optimal Trajectories of Arm Reaching Movements
813 -- 843Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari. Dynamics of Learning Near Singularities in Layered Networks
844 -- 872Youshen Xia, Mohamed S. Kamel. A Cooperative Recurrent Neural Network for Solving ::::L::::::1:: Estimation Problems with General Linear Constraints

Volume 20, Issue 2

311 -- 344David C. Sterratt, David J. Willshaw. Inhomogeneities in Heteroassociative Memories with Linear Learning Rules
345 -- 373Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen. A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
374 -- 382Tobias Glasmachers, Christian Igel. Second-Order SMO Improves SVM Online and Active Learning
383 -- 414Christoph Börgers, Nancy Kopell. Gamma Oscillations and Stimulus Selection
415 -- 435Ryosuke Hosaka, Osamu Araki, Tohru Ikeguchi. STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns
436 -- 451Natalia Toporikova, Joël Tabak, Marc E. Freeman, Richard Bertram. A-Type K:::+::: Current Can Act as a Trigger for Bursting in the Absence of a Slow Variable
452 -- 485Christian K. Machens, Carlos D. Brody. Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle
486 -- 503Stephen Jose Hanson, Yaroslav O. Halchenko. Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No Face Identification Area
504 -- 522Tatiana Miazhynskaia, Sylvia Frühwirth-Schnatter, Georg Dorffner. Neural Network Models for Conditional Distribution Under Bayesian Analysis
523 -- 554Geert Gins, Ilse Y. Smets, Jan F. M. Van Impe. Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix
555 -- 572Junbin Gao. Robust L1 Principal Component Analysis and Its Bayesian Variational Inference
573 -- 601Matthias Ihme, Alison L. Marsden, Heinz Pitsch. Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems

Volume 20, Issue 12

2863 -- 2894Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Cohen. Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
2895 -- 2936Jonathan D. Victor, Sheila Nirenberg. Indices for Testing Neural Codes
2937 -- 2966Benoît Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy. A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks
2973 -- 3002Brice Bathellier, Alan Carleton, Wulfram Gerstner. Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks
3003 -- 3033Henry C. Tuckwell. Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron
3034 -- 3054Elliot A. Ludvig, Richard S. Sutton, E. James Kehoe. Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System
3055 -- 3086Osamu Hoshino. An Ongoing Subthreshold Neuronal State Established Through Dynamic Coassembling of Cortical Cells
3087 -- 3110Aapo Hyvärinen. Optimal Approximation of Signal Priors
3111 -- 3130Thomas J. Sullivan, Virginia R. de Sa. Sleeping Our Way to Weight Normalization and Stable Learning

Volume 20, Issue 11

2597 -- 2628Daniel J. Navarro, Thomas L. Griffiths. Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
2629 -- 2636Ilya Sutskever, Geoffrey E. Hinton. Deep, Narrow Sigmoid Belief Networks Are Universal Approximators
2637 -- 2661Shawn Mikula, Ernst Niebur. Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors
2662 -- 2695A. Scaglione, G. Foffani, G. Scannella, S. Cerutti, Karen A. Moxon. Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations?
2696 -- 2714Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lansky. Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
2715 -- 2744Aurel A. Lazar, Eftychios A. Pnevmatikakis. Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
2745 -- 2756William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. Hines. Just-in-Time Connectivity for Large Spiking Networks
2757 -- 2791Yoshifusa Ito. Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks
2792 -- 2838Masanori Kawakita, Shinto Eguchi. Boosting Method for Local Learning in Statistical Pattern Recognition
2839 -- 2861Dit-Yan Yeung, Hong Chang, Guang Dai. A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability

Volume 20, Issue 10

2379 -- 2417Maxim Nikitchenko, Alexei A. Koulakov. Neural Integrator: A Sandpile Model
2418 -- 2440Germán Mato, Inés Samengo. Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features
2441 -- 2463Jörg Lücke, Christian Keck, Christoph von der Malsburg. Rapid Convergence to Feature Layer Correspondences
2464 -- 2490Eric K. C. Tsang, Bertram Emil Shi. Normalization Enables Robust Validation of Disparity Estimates from Neural Populations
2491 -- 2525Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy. Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia
2526 -- 2563Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen. Sparse Coding via Thresholding and Local Competition in Neural Circuits
2564 -- 2596Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen. Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof

Volume 20, Issue 1

1 -- 43Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter. The High-Conductance State of Cortical Networks
44 -- 64Bernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski. Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms
65 -- 90Jeffrey J. Lovelace, Krzysztof J. Cios. A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems
91 -- 117Sophie Deneve. Bayesian Spiking Neurons I: Inference
118 -- 145Sophie Deneve. Bayesian Spiking Neurons II: Learning
146 -- 175F. Klam, Richard S. Zemel, Alexandre Pouget. Population Coding with Motion Energy Filters: The Impact of Correlations
176 -- 204Nicholas V. Swindale. Feedback Decoding of Spatially Structured Population Activity in Cortical Maps
205 -- 226Aaron Raftery, Joseph Cusumano, Dagmar Sternad. Chaotic Frequency Scaling in a Coupled Oscillator Model for Free Rhythmic Actions
227 -- 251Yutaka Sakai, Tomoki Fukai. The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors
252 -- 270Vera Kurková. Minimization of Error Functionals over Perceptron Networks
271 -- 287Tilman Knebel, Sepp Hochreiter, Klaus Obermayer. An SMO Algorithm for the Potential Support Vector Machine
288 -- 309Robert A. Legenstein, Wolfgang Maass. On the Classification Capability of Sign-Constrained Perceptrons